a hybrid fuzzy multiple attribute decision making approach for identification and ranking influencing factors on bullwhip effect in supply chain: real case of steel ‎industry‎

A hybrid fuzzy multiple attribute decision making approach for identification and ranking influencing factors on Bullwhip Effect in supply chain: real case of Steel ‎industry‎

Bullwhip effect phenomenon is what reduces the efficiency of the supply chain. The effect occurs when demand changes in the supply chain face with a lot of volatility. So far, several key factors have been identified as causes of this phenomenon. Since the steel industry, is the basic one, its efficiency is of great importance. Therefore, in this study influencing factors on Bullwhip Effect in ...

Identification and Prioritization of Industrial Organizations HSE-MS Key Performance Indicators by Fuzzy Multiple Attribute Decision Making Approach (FAHP & Taxonomy)

Background and aims: Given the ever - expanding growth of science and technology that the multiplicity, variety, and complexity of industrial processes have been only a part of it, and despite the many human needs to be met using science and technology, the devastating effects must not be forgotten. These consequences are either due to the unknown dimensions and aspects found in modern science ...

A Hybrid Fuzzy Approach to Bullwhip Effect in Supply Chain Networks

Multiple attribute decision making with triangular intuitionistic fuzzy numbers based on zero-sum game approach

For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value ind...

A New Hybrid Prediction Reduces the Bullwhip Effect of Demand in a Three-level Supply Chain

In this paper, we present a new predictive hybrid model using discrete wavelet transform (DWT), and the artificial neural network (ANN) to reduce the bullwhip effect of demand in supply chain to obtain a real amount of final customer demand. Also, we compare our result with more comprehensive sample of previous research to extend the scope of our study. In this new research our methodology is c...

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers